Toward a Practical Appraisal for Waveform Tomography of Band- and Offset-Limited Marine Seismic Data
We present a generalized workflow to retrieve high-resolution P-wave velocity ( V_{\mathrm{ P}} ) models of complex Earth's subsurface structures from traditional marine near-vertical seismic reflection experiments. These records have typically offsets too short to map refraction phases and lac...
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description | We present a generalized workflow to retrieve high-resolution P-wave velocity ( V_{\mathrm{ P}} ) models of complex Earth's subsurface structures from traditional marine near-vertical seismic reflection experiments. These records have typically offsets too short to map refraction phases and lack low-frequency information. The workflow is composed of three steps: 1) downward continuation (DC) of seismic records to the seafloor to recover diving wave information; 2) travel-time tomography (TTT) of first arrivals obtained from DC data, to retrieve a kinematically correct model; and 3) full-waveform inversion (FWI) of the original streamer dataset, starting with the model obtained with TTT and sequentially introducing higher wavenumber details into the model. We show that the TTT allows overcoming the issues associated with the nonlinearity intrinsic to FWI. We also disentangle envelope and phase from the waveform to choose the objective function most suitable for FWI. We assess the accuracy of initial models and predict the quality of the FWI results by quantifying the early arrival cycle skipping between original and simulated data. The efficiency of the workflow is tested with a challenging synthetic target model, containing vertical boundaries with strong velocity contrasts and velocity inversions embedded in a checkerboard-like pattern. We show that workflow steps 1) and 2) provide a TTT model that is not cycle skipped at the frequencies available in most marine seismic experiments and thus allow step 3) FWI to obtain high-resolution V_{\mathrm{ P}} models of the subsurface using band- and offset-limited field datasets, traditionally collected in marine airgun and streamer acquisitions. |
doi_str_mv | 10.1109/TGRS.2021.3097966 |
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These records have typically offsets too short to map refraction phases and lack low-frequency information. The workflow is composed of three steps: 1) downward continuation (DC) of seismic records to the seafloor to recover diving wave information; 2) travel-time tomography (TTT) of first arrivals obtained from DC data, to retrieve a kinematically correct model; and 3) full-waveform inversion (FWI) of the original streamer dataset, starting with the model obtained with TTT and sequentially introducing higher wavenumber details into the model. We show that the TTT allows overcoming the issues associated with the nonlinearity intrinsic to FWI. We also disentangle envelope and phase from the waveform to choose the objective function most suitable for FWI. We assess the accuracy of initial models and predict the quality of the FWI results by quantifying the early arrival cycle skipping between original and simulated data. The efficiency of the workflow is tested with a challenging synthetic target model, containing vertical boundaries with strong velocity contrasts and velocity inversions embedded in a checkerboard-like pattern. We show that workflow steps 1) and 2) provide a TTT model that is not cycle skipped at the frequencies available in most marine seismic experiments and thus allow step 3) FWI to obtain high-resolution <inline-formula> <tex-math notation="LaTeX">V_{\mathrm{ P}} </tex-math></inline-formula> models of the subsurface using band- and offset-limited field datasets, traditionally collected in marine airgun and streamer acquisitions.]]></description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2021.3097966</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Acoustic waves ; Analytical models ; Data models ; Datasets ; downward continuation (DC) ; full-waveform inversion ; Geology ; Geometry ; High resolution ; inverse theory ; Inversions ; marine seismic data ; Model accuracy ; Nonlinear systems ; Nonlinearity ; numerical modeling ; Objective function ; Ocean floor ; P waves ; Propagation ; Records ; Resolution ; Seismic data ; Seismic surveys ; Seismic velocities ; Seismograms ; signal analysis ; Streaming media ; Tomography ; Travel time ; travel-time tomography (TTT) ; Velocity ; velocity models ; Wave velocity ; waveform tomography ; Waveforms ; Wavelengths ; Workflow</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c336t-dfdb54db2c3e5bb5837b720004707c9bd624c9af6153711229313f864cf794f93</citedby><cites>FETCH-LOGICAL-c336t-dfdb54db2c3e5bb5837b720004707c9bd624c9af6153711229313f864cf794f93</cites><orcidid>0000-0002-8193-415X ; 0000-0002-2011-1416 ; 0000-0003-0075-5705</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9572373$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,4009,27902,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9572373$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gras, Claudia</creatorcontrib><creatorcontrib>Jimenez-Tejero, Clara Estela</creatorcontrib><creatorcontrib>Sallares, Valenti</creatorcontrib><creatorcontrib>Melendez, Adria</creatorcontrib><creatorcontrib>Ranero, Cesar R.</creatorcontrib><title>Toward a Practical Appraisal for Waveform Tomography of Band- and Offset-Limited Marine Seismic Data</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description><![CDATA[We present a generalized workflow to retrieve high-resolution P-wave velocity (<inline-formula> <tex-math notation="LaTeX">V_{\mathrm{ P}} </tex-math></inline-formula>) models of complex Earth's subsurface structures from traditional marine near-vertical seismic reflection experiments. These records have typically offsets too short to map refraction phases and lack low-frequency information. The workflow is composed of three steps: 1) downward continuation (DC) of seismic records to the seafloor to recover diving wave information; 2) travel-time tomography (TTT) of first arrivals obtained from DC data, to retrieve a kinematically correct model; and 3) full-waveform inversion (FWI) of the original streamer dataset, starting with the model obtained with TTT and sequentially introducing higher wavenumber details into the model. We show that the TTT allows overcoming the issues associated with the nonlinearity intrinsic to FWI. We also disentangle envelope and phase from the waveform to choose the objective function most suitable for FWI. We assess the accuracy of initial models and predict the quality of the FWI results by quantifying the early arrival cycle skipping between original and simulated data. The efficiency of the workflow is tested with a challenging synthetic target model, containing vertical boundaries with strong velocity contrasts and velocity inversions embedded in a checkerboard-like pattern. We show that workflow steps 1) and 2) provide a TTT model that is not cycle skipped at the frequencies available in most marine seismic experiments and thus allow step 3) FWI to obtain high-resolution <inline-formula> <tex-math notation="LaTeX">V_{\mathrm{ P}} </tex-math></inline-formula> models of the subsurface using band- and offset-limited field datasets, traditionally collected in marine airgun and streamer acquisitions.]]></description><subject>Acoustic waves</subject><subject>Analytical models</subject><subject>Data models</subject><subject>Datasets</subject><subject>downward continuation (DC)</subject><subject>full-waveform inversion</subject><subject>Geology</subject><subject>Geometry</subject><subject>High resolution</subject><subject>inverse theory</subject><subject>Inversions</subject><subject>marine seismic data</subject><subject>Model accuracy</subject><subject>Nonlinear systems</subject><subject>Nonlinearity</subject><subject>numerical modeling</subject><subject>Objective function</subject><subject>Ocean floor</subject><subject>P waves</subject><subject>Propagation</subject><subject>Records</subject><subject>Resolution</subject><subject>Seismic data</subject><subject>Seismic surveys</subject><subject>Seismic velocities</subject><subject>Seismograms</subject><subject>signal analysis</subject><subject>Streaming media</subject><subject>Tomography</subject><subject>Travel time</subject><subject>travel-time tomography (TTT)</subject><subject>Velocity</subject><subject>velocity models</subject><subject>Wave velocity</subject><subject>waveform tomography</subject><subject>Waveforms</subject><subject>Wavelengths</subject><subject>Workflow</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtKAzEUhoMoWKsPIG4CrqfmnmZZb1WoVOyIy5DJRVM6nTGZKn17p7S4Of9ZfP858AFwidEIY6RuyunbYkQQwSOKlFRCHIEB5nxcIMHYMRggrERBxoqcgrOclwhhxrEcAFc2vyY5aOBrMraL1qzgpG2TibnfQpPgh_nxfdawbOrmM5n2awubAG_N2hWwH3AeQvZdMYt17LyDLybFtYcLH3MdLbw3nTkHJ8Gssr845BC8Pz6Ud0_FbD59vpvMCkup6AoXXMWZq4ilnlcVH1NZSYIQYhJJqyonCLPKBIE5lRgToiimYSyYDVKxoOgQXO_vtqn53vjc6WWzSev-pSZ9V3IhOOkpvKdsanJOPug2xdqkrcZI72TqnUy9k6kPMvvO1b4Tvff_vOKSUEnpH_E8b1M</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Gras, Claudia</creator><creator>Jimenez-Tejero, Clara Estela</creator><creator>Sallares, Valenti</creator><creator>Melendez, Adria</creator><creator>Ranero, Cesar R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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These records have typically offsets too short to map refraction phases and lack low-frequency information. The workflow is composed of three steps: 1) downward continuation (DC) of seismic records to the seafloor to recover diving wave information; 2) travel-time tomography (TTT) of first arrivals obtained from DC data, to retrieve a kinematically correct model; and 3) full-waveform inversion (FWI) of the original streamer dataset, starting with the model obtained with TTT and sequentially introducing higher wavenumber details into the model. We show that the TTT allows overcoming the issues associated with the nonlinearity intrinsic to FWI. We also disentangle envelope and phase from the waveform to choose the objective function most suitable for FWI. We assess the accuracy of initial models and predict the quality of the FWI results by quantifying the early arrival cycle skipping between original and simulated data. The efficiency of the workflow is tested with a challenging synthetic target model, containing vertical boundaries with strong velocity contrasts and velocity inversions embedded in a checkerboard-like pattern. We show that workflow steps 1) and 2) provide a TTT model that is not cycle skipped at the frequencies available in most marine seismic experiments and thus allow step 3) FWI to obtain high-resolution <inline-formula> <tex-math notation="LaTeX">V_{\mathrm{ P}} </tex-math></inline-formula> models of the subsurface using band- and offset-limited field datasets, traditionally collected in marine airgun and streamer acquisitions.]]></abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2021.3097966</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-8193-415X</orcidid><orcidid>https://orcid.org/0000-0002-2011-1416</orcidid><orcidid>https://orcid.org/0000-0003-0075-5705</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acoustic waves Analytical models Data models Datasets downward continuation (DC) full-waveform inversion Geology Geometry High resolution inverse theory Inversions marine seismic data Model accuracy Nonlinear systems Nonlinearity numerical modeling Objective function Ocean floor P waves Propagation Records Resolution Seismic data Seismic surveys Seismic velocities Seismograms signal analysis Streaming media Tomography Travel time travel-time tomography (TTT) Velocity velocity models Wave velocity waveform tomography Waveforms Wavelengths Workflow |
title | Toward a Practical Appraisal for Waveform Tomography of Band- and Offset-Limited Marine Seismic Data |
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